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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 8469
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    INDEX
    Explanations

    words related to emphasizing agreement or addition in statements

    oai_token-act-pair · gpt-3.5-turbo

    repetitive conjunctions and phrases connecting ideas in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Riders
    -0.72
    elsen
    -0.66
    wings
    -0.65
     Survivors
    -0.63
     Commissioners
    -0.62
    sterdam
    -0.62
     flats
    -0.61
     Ll
    -0.61
    bryce
    -0.60
     Scroll
    -0.60
    POSITIVE LOGITS
    enge
    0.84
    insk
    0.76
    enged
    0.75
     sidx
    0.72
    ented
    0.71
    aucas
    0.70
    izont
    0.70
    ifiable
    0.70
    riched
    0.70
    enced
    0.70
    Activations Density 0.253%

    No Known Activations